MSci Data Science with Integrated Master’s

In this course, you will be trained from first principles in Computer Science and Mathematics. The two disciplines are blended seamlessly throughout your degree. You will undertake significant development projects, including a final year data science dissertation led by academics with research specialties currently in artificial intelligence, big data, and statistical modeling. You will explore a range of advanced technical topics which may include cloud computing, as well as academic research, industry-focused professional skills, and practical problem-solving to ensure you are fully equipped for an exciting and intellectually stimulating journey as a Data Scientist. This Integrated Master’s offers you an extra year of in-depth study and the ability to creatively apply your knowledge in novel situations. The MSci training covers advanced mathematics and statistics as well as research, leaving you ideally placed to make meaningful contributions in top-level industries as well as continuing your academic career with a further study via a research doctorate.

Year 1

• Programming I – Programming Fundamentals
• Introduction to Data Science I
• Introduction to Probability and Statistics
• Mathematical Techniques for Data Science
• Communication, Confidence, and Competence
• Introduction to Data Science II
• Statistics

Year 2

• Programming II – Data Structures and Algorithms
• Computational and Artificial Intelligence I
• Visualization for Data Science
• Database Systems
• Applied Deep Learning
• Professional Mathematics and Data Science

Optional Modules

• Web Technologies
• Probability
• Individual Study Topic in Computer Science
• Advanced Programming Practices
• Software Engineering
• Linear Statistical Models
• Operational Research

Year 3

• Machine Learning Applications
• Data Mining
• Third Year Double Project – ISP
• Computational and Artificial Intelligence II
• Data Ethics and Security

Optional Modules

• Bioinformatics
• Game Theory
• Advanced Databases and Applications
• Advanced Web Technologies
• Medical Statistics

Year 4

• Research Horizons
• Advanced Topics in Machine Learning
• MSci Project

Optional Modules

• Distributed Intelligent Systems
• Internet of Things
• Time Series Models and Analysis
• Smart Grid and the Energy Transition
• Cloud Computing
• Web Technologies and Security

Employability:

From programming in Python and R to large-scale data engineering and working on the latest deep-learning research in applied settings, Keele’s program delivers the necessary skills to choose a pathway through this career with confidence. You can go on to work in diverse industries such as finance, healthcare, transport, business intelligence, and e-commerce, as well as further academic study. Additional experience in research and self-directed learning gives our students the broader abilities needed to respond to the latest developments in this fast-changing field in the years ahead. Our Data Science degree is also great preparation for employment in related fields including consultancy, software development, accountancy, engineering, and teaching.

Previous employers

• Bet365
• BAE Systems Applied Intelligence
• Bitjam